Run
496665

Run 496665

Task 10059 (Learning Curve) ipums_la_99-small Uploaded 03-12-2015 by Joaquin Vanschoren
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Flow

weka.JRip(5)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(5)_F3
weka.JRip(5)_N2.0
weka.JRip(5)_O2
weka.JRip(5)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.5844 ± 0.0303
Per class
F measure
0.9187 ± 0.0045
Per class
Kappa
0.2064 ± 0.0655
KB relative information score
339.1503 ± 24.003
Mean absolute error
0.11 ± 0.0029
Mean prior absolute error
0.1203 ± 0.0004
Number of instances
8844
Per class
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.9142 ± 0.0053
Per class
Predictive accuracy
0.9346 ± 0.0036
Prior entropy
0.3444
Recall
0.9346 ± 0.0036
Per class
Relative absolute error
0.9143 ± 0.0228
Root mean prior squared error
0.2452 ± 0.0008
Root mean squared error
0.2387 ± 0.0039
Root relative squared error
0.9738 ± 0.0135
SciMark benchmark
1016.2024
UserCPU time millis
3530
UserCPU time millis training
3530